Network Maintenance and Optimisation

November 2nd, 2016

Background

Exbyte Team collaborates with water utilities to process recorded data and discover hidden patterns, in order to support oper-ational decision making. The project aims to dynamically optimise the network operation to meet key performance indicators for continuity of supply, quality, energy and costs.

Technologies

Water quality analysis

  • Spatial-temporal analysis
  • Water age estimation
  • Impact of water age on water quality
  • Impact of operational changes on water quality

Chemical dosing optimisation

  • Water quality prediction
  • Additional sites optimization
  • Chemical dosing optimization

Energy saving at subsystem and whole system scales

  • Factor analysis
  • Joint optimization
  • Demand prediction
  • Risk analysis

Outcomes

  • Water quality map of residual total chlorine level for the water distribution network.
  • Predictive model of daily demand patterns for individual reservoir zones and the whole system .
  • Optimised chlorine dosing strategy of volume and timing for water quality management.
  • Impact of reservoir operational windows on water quality and energy management.
  • Advanced operational protocol of reservoir pumping and valve controlling for energy management.
  • Data requirements to improve certainty and optimisation for water quality and energy management.
The diagram for the system framework

The diagram for the system framework